Title :
A Framework of an Extended Reading Passage Grading System for Personalised English Learning
Author :
Chai, W.N. ; Ruangrajitpakorn, Taneth ; Supnithi, Thepchai
Author_Institution :
Nat. Electron. & Comput. Technol. Center, Language & Semantic Technol. Lab., Thailand
Abstract :
An extended version of reading passage grading system is presented in this paper. Weakness of the previous work has been resolved by additional feature and assisting components. It applies four linguistic features: average amount of syllable, difficulty of vocabulary, combination of clause usage and a frequency of voice and tense. POS tagging is composed into a system to help on ambiguity issue in polysemy issue, clause and voice-tense recognising. Neural network is selected to generate a passage statistical model while students´ model is exploited to represent student´s individual preference. The user interface of the system is designed for the use as assisting tool for supporting a student-centred learning in English class.
Keywords :
computational linguistics; computer aided instruction; natural language processing; neural nets; statistical analysis; user interfaces; vocabulary; English class; POS tagging; assisting tool; clause usage; extended reading passage grading system; linguistic features; neural network; passage statistical model; personalised english learning; polysemy issue; student-centred learning; tense frequency; user interface; vocabulary difficulty; voice frequency; voice-tense recognition; Complexity theory; Educational institutions; Machine learning; Mathematical model; Neural networks; Pragmatics; Vocabulary; English class in student-centred learning; Passage grading system; linguistic feature in machine learning; personalisation model; supporting tool for learning;
Conference_Titel :
Knowledge, Information and Creativity Support Systems (KICSS), 2012 Seventh International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-4564-4
DOI :
10.1109/KICSS.2012.46
